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检索条件"机构=Key Laboratory of Data Engineering and Visual Computing"
1664 条 记 录,以下是1091-1100 订阅
排序:
How to respond to emerging threats of cyberspace security via social engineering? A novel paradigm to solve cyberspace security issues
TechRxiv
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TechRxiv 2022年
作者: Lin, Hao Wang, Chun-Dong Gao, Hao-Yu School of Computer Science and Engineering Tianjin University of Technology Tianjin China Tianjin Key Laboratory of Intelligence Computing Novel Software Technology Ministry of Education Tianjin China Engineering Research Center of Learning-Based Intelligent System Ministry of Education Tianjin China College of Data Science and Application Inner Mongolia University of Technology Hohhot China
Cybersecurity researchers always ignore the "people" behind the issues when dealing with cyberspace security issues. The human and technological aspects of cyberspace security must be simultaneously addresse... 详细信息
来源: 评论
GradSA: Gradient Sparsification and Accumulation for Communication-Efficient Distributed Deep Learning  15th
GradSA: Gradient Sparsification and Accumulation for Communi...
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15th International Conference on Green, Pervasive, and Cloud computing, GPC 2020
作者: Liu, Bo Jiang, Wenbin Zhao, Shaofeng Jin, Hai He, Bingsheng National Engineering Research Center for Big Data Technology and System Service Computing Technology and System Lab Cluster and Grid Computing Lab Huazhong University of Science and Technology Wuhan China Wuhan National Laboratory for Optoelectronics Key Laboratory of Information Storage System Engineering Research Center of Data Storage Systems and Technology Huazhong University of Science and Technology Wuhan China Library Henan University of Economics and Law Zhengzhou China Department of Computer Science School of Computing National University of Singapore Singapore Singapore
Large-scale distributed deep learning is of great importance in various applications. For distributed training, the inter-node gradient communication often becomes the performance bottleneck. Gradient sparsification h... 详细信息
来源: 评论
Network Security Situational Awareness Model Based on Threat Intelligence  14th
Network Security Situational Awareness Model Based on Threat...
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14th EAI International Conference on Mobile Multimedia Communications, Mobimedia 2021
作者: Zhang, Hongbin Yin, Yan Zhao, Dongmei Liu, Bin Gao, Hongbin School of Information Science and Engineering Hebei University of Science and Technology Shijiazhuang050018 China Hebei Key Laboratory of Network and Information Security Hebei Normal University Hebei Shijiazhuang050024 China School of Economics and Management Hebei University of Science and Technology Shijiazhuang050000 China Research Center of Big Data and Social Computing Hebei University of Science Shijiazhuang05000 China
In order to deal with the problems that the increasing scale of the network in the real environment leads to the continuous high incidence of network attacks, the threat intelligence was applied to situational awarene... 详细信息
来源: 评论
A Node-collaboration-informed Graph Convolutional Network for Precise Representation to Undirected Weighted Graphs
arXiv
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arXiv 2022年
作者: Wang, Ying Yuan, Ye Luo, Xin The School of Computer Science and Technology Chongqing University of Posts and Telecommunications Chongqing400065 China The Chongqing Key Laboratory of Big Data and Intelligent Computing Chongqing Engineering Research Center of Big Data Application for Smart Cities Chongqing Institute of Green and Intelligent Technology Chinese Academy of Sciences Chongqing400714 China The College of Computer and Information Science Southwest University Chongqing400715 China
An undirected weighted graph (UWG) is frequently adopted to describe the interactions among a solo set of nodes from real applications, such as the user contact frequency from a social network services system. A graph... 详细信息
来源: 评论
AdAUC: End-to-end Adversarial AUC Optimization Against Long-tail Problems
arXiv
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arXiv 2022年
作者: Hou, Wenzheng Xu, Qianqian Yang, Zhiyong Bao, Shilong He, Yuan Huang, Qingming Key Laboratory of Intelligent Information Processing Institute of Computing Technology CAS Beijing China School of Computer Science and Technology University of Chinese Academy of Sciences Beijing China State Key Laboratory of Information Security Institute of Information Engineering CAS Beijing China School of Cyber Security University of Chinese Academy of Sciences Beijing China Alibaba Group Beijing China Key Laboratory of Big Data Mining and Knowledge Management Chinese Academy of Sciences Beijing China Artificial Intelligence Research Center Peng Cheng Laboratory Shenzhen China
It is well-known that deep learning models are vulnerable to adversarial examples. Existing studies of adversarial training have made great progress against this challenge. As a typical trait, they often assume that t... 详细信息
来源: 评论
PointCA: Evaluating the Robustness of 3D Point Cloud Completion Models Against Adversarial Examples
arXiv
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arXiv 2022年
作者: Hu, Shengshan Zhang, Junwei Liu, Wei Hou, Junhui Li, Minghui Zhang, Leo Yu Jin, Hai Sun, Lichao School of Cyber Science and Engineering Huazhong University of Science and Technology China School of Computer Science and Technology Huazhong University of Science and Technology China School of Software Engineering Huazhong University of Science and Technology China Cluster and Grid Computing Lab China National Engineering Research Center for Big Data Technology and System Hubei Engineering Research Center on Big Data Security China Hubei Key Laboratory of Distributed System Security China Services Computing Technology and System Lab China City University of Hong Kong Hong Kong Deakin University Australia Lehigh University United States
Point cloud completion, as the upstream procedure of 3D recognition and segmentation, has become an essential part of many tasks such as navigation and scene understanding. While various point cloud completion models ... 详细信息
来源: 评论
DITE: Achieving Distributed Intelligent Traffic engineering With Sparse Network-Wide Guidance
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IEEE Transactions on Network Science and engineering 2025年
作者: Guo, Yingya Zhou, Weihong Hu, Cheng Lin, Bin Deng, Yuhui Min, Geyong Fuzhou University College of Computer and Data Science Fuzhou 350025 China Fuzhou University Fujian Provincial Key Laboratory of Network Computing and Intelligent Information Processing Fuzhou 350025 China Ministry of Education Engineering Research Center of Big Data Intelligence Fuzhou 350025 China Guangdong University of Foreign Studies School of Information Science and Technology Guangzhou 510515 China Jinan University Department of Computer Science Guangzhou 510632 China University of Exeter Department of Computer Science College of Engineering Mathematics and Physical Sciences Exeter EX4 4PY United Kingdom
Distributed Traffic engineering (TE) adopts decentralized routing and offers natural merits over centralized TE in rapidly responding to dynamic network flows. However, based solely on local network observations, trad... 详细信息
来源: 评论
Confidence-Regulated Generative Diffusion Models for Reliable AI Agent Migration in Vehicular Metaverses
arXiv
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arXiv 2025年
作者: Kang, Yingkai Kang, Jiawen Wen, Jinbo Zhang, Tao Yang, Zhaohui Niyato, Dusit Zhang, Yan School of Automation Guangdong University of Technology Guangzhou510006 China College of Computer Science and Technology Nanjing University of Aeronautics and Astronautics Nanjing210016 China School of Cyberspace Science and Technology Beijing Jiaotong University Beijing100044 China College of Information Science and Electronic Engineering Zhejiang Provincial Key Lab of information processing communication and networking Zhejiang University Hangzhou310007 China College of Computing and Data Science Nanyang Technological University Singapore Department of Informatics University of Oslo the Simula Research Laboratory Norway
Vehicular metaverses are an emerging paradigm that merges intelligent transportation systems with virtual spaces, leveraging advanced digital twin and Artificial Intelligence (AI) technologies to seamlessly integrate ... 详细信息
来源: 评论
PreZ-DGGAN: A Drug Graph GAN Based on Pre-Learning of Implicit Variables  2nd
PreZ-DGGAN: A Drug Graph GAN Based on Pre-Learning of Implic...
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2nd International Conference on Applied Intelligence, ICAI 2024
作者: Liu, Yixin Fan, Yueqin Li, Zhipeng Zhang, Qinhu Big Data and Intelligent Computing Research Center Guangxi Academy of Science Nanning530007 China School of Mechanical Engineering Guangxi University Nanning530004 China Ningbo Institute of Digital Twin Eastern Institute of Technology Ningbo315201 China Institute for Regenerative Medicine Medical Innovation Center and State Key Laboratory of Cardiology School of Medicine Shanghai East Hospital Tongji University Shanghai200123 China College of Advanced Agricultural Sciences Zhejiang Agriculture and Forestry University Hangzhou311300 China
In the field of drug discovery and development, deep learning techniques have become a powerful tool to accelerate the discovery and development of new drugs. In the design and optimization of lead molecules, generati... 详细信息
来源: 评论
EEGMatch: Learning with Incomplete Labels for Semi-Supervised EEG-based Cross-Subject Emotion Recognition
arXiv
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arXiv 2023年
作者: Zhou, Rushuang Ye, Weishan Zhang, Zhiguo Luo, Yanyang Zhang, Li Li, Linling Huang, Gan Dong, Yining Zhang, Yuan-Ting Liang, Zhen The School of Biomedical Engineering Medical School Shenzhen University Shenzhen518060 China The Guangdong Provincial Key Laboratory of Biomedical Measurements and Ultrasound Imaging Shenzhen518060 China Department of Biomedical Engineering City University of Hong Kong Hong Kong Hong Kong Science and Technology Park Hong Kong Institute of Computing and Intelligence Harbin Institute of Technology Shenzhen China Peng Cheng Laboratory Shenzhen China School of Data Science City University of Hong Kong Hong Kong Science and Technology Park Hong Kong
Electroencephalography (EEG) is an objective tool for emotion recognition and shows promising performance. However, the label scarcity problem is a main challenge in this field, which limits the wide application of EE... 详细信息
来源: 评论